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farmers, agronomists, and industry stakeholders to understand decision-making processes and simplify data capture and integration workflows. A strong background in data science and decision theory, combined
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
Searches related to mathematics graph theory
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